Practical Regression and Anova using R

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PracticalRegressionandAnova usingRJulianJ. FarawayJuly20021Copyrightc 1999,2000,2002JulianJ. FarawayPermissiontoreproduceindividualco piesofthisbookforpersonaluseis a notintroductory. It theessentialsofstatisticalinferencelike estimation, is tolearnwhatmethodsareavailableandmoreimp ortantly, whenthey relativelylessemphasisonmathematicaltheo ry, partlybecausesomepriorknowledgeis importantbecauseit take a widerviewofstatisticaltheory. It is statisticalconceptsarejustasimportantin Statisticsbecausetheseenableusto actuallydoit principlesarehardertolearnbecausethey aredifficulttostatepreciselybutthey a aredesignedfordifferentaudiencesandhave have chosentouseR( (1996)).WhydoI useR? alsoa programminglanguage,soI amnotlimitedbytheproceduresthatareprepro grammedbya is relativelyeasytoprogramnew Dataanalysisis , a time,allowingustomake ,Macintosh, SASis themostcommonstatisticspackageingeneralb utRorS is alsopopularforquantitative thatit is notanintroductiontoR.

Data analysis cannot be learnt without actually doing it. This means using a statistical computing pack-age. There is a wide choice of such packages. They are designed for different audiences and have different strengths and weaknesses. I have chosen to use R (ref. Ihaka and Gentleman (1996)). Why do I use R ? The are several reasons. 1 ...

  Analysis, Using, Data, Statistical, Data analysis, Using r